ASUS System Product Name
Geekbench AI Score
7996
Single Precision Score
7964
Half Precision Score
19386
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5180
963.3 IPS |
|
|
Image Classification (HP)
|
100% |
5187
964.6 IPS |
|
|
Image Classification (Q)
|
100% |
11543
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4478
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4456
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12125
196.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9311
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9284
10.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
36105
42.3 IPS |
|
|
Object Detection (SP)
|
100% |
5143
407.9 IPS |
|
|
Object Detection (HP)
|
100% |
5032
399.1 IPS |
|
|
Object Detection (Q)
|
88% |
12520
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
16602
197.3 IPS |
|
|
Face Detection (HP)
|
100% |
16033
190.5 IPS |
|
|
Face Detection (Q)
|
100% |
33292
395.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13089
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13082
100.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35262
274.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25869
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25527
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
91647
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5898
217.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18412
681.9 IPS |
|
|
Text Classification (SP)
|
100% |
4338
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4588
6.12 KIPS |
|
|
Text Classification (Q)
|
92% |
6663
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6706
115.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6567
113.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8978
154.6 IPS |
